Developing Innovative AI-Based Educational Guidance Systems to Meet the Needs of Each Student Individually: A Comprehensive Review

The influence of advanced technologies, especially artificial intelligence (AI), on the higher education sector is considerable and cannot be overlooked. It has been found out that this technology is beneficial both for tutors and students during the process of teaching and learning respectively. The primary issue that needs to be dealt with is the lack of personalized educational recommendations that would suit the specific needs, the modes of learning and the level of achievement of each particular learner. In most cases, academic institutions of a classical type offer standardized methods, which may, however, result to some students lagging behind or failing to cope with their study problems. The aimis to develop innovative systems for educational assistance based on AI technologies to solve particular issues like diversity in learning strategies and pace among learners and to ensure that a range of approaches are employed to elevate their learning experience. The system must adapt the teaching and the materials used, to the preferred way and rate of the student. In this particular research, a qualitative approach was adopted to engage in an extensive literature review of the broad field of educational psychology, adaptive learning systems, educational AI, and learning personalization. Examine the research and technological gaps which are the foundation of the proposed system. The results presented in this research show that it is necessary to improve the learning outcomes, the efficiency of resource usage and increase the level of engagement.